检索结果-内蒙古大学图书馆

SSRN 2022年

作者： Tian, Ying Xiang, Xin Peng, Xin Zhong, Yin Zhang, Wei Department of control science and Engineering School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China

Data based intelligent fault diagnosis method is an important tool for ensuring the stability of industrial process. However, in the actual industrial process, due to the difficulty of feature extraction and the lack of labeled fault data, it is hard to form a fault diagnosis model with good performance. To address this problem, the Self-Attention embedded Generative Adversarial Networks combined with the Residual Network(SAGAN-ResNet) is proposed in this study. Firstly, to handle the lack of the fault data, the data enhancement method which consists of Self-Attention embedded generator and discriminator is adopted. Then, to extract the feature for better diagnosis performance, based on the augmented training dataset, Residual Network (ResNet) is introduced. Finally, the proposed method is compared with others, the results show that proposed method has advantages in the case of complex process fault diagnosis with few shot industrial data. © 2022, The Authors. All rights reserved.

关键词： Failure analysis

来源：评论

学校读者我要写书评

暂无评论

Modelling of mill load for wet ball mill via GA and SVM based on spectral feature

Modelling of mill load for wet ball mill via GA and SVM base...

引用

2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

作者： Zhao, Lijie Tang, Jian Yu, Wen Yue, Heng Chai, Tianyou College of Information Engineering Shenyang University of Chemical Technology Shenyang I10142 China Key Laboratory of Integrated Automation of Process Industry Northeastern University Ministry of Education Shen yang Liaoning China Departamento de Control Automatico CINVESTAV-IPN Av.IPN 2508 México D.F. 07360 Mexico

ISBN: (纸本)9781424464388

The load of wet ball mill is a key parameter for grinding process, which affects the productivity, quality and energy consumption. A new soft sensor approach based on the mill shell vibration signal is proposed in this paper. As the frequency domain signal contains more evidently information than time domain, the power spectral density (PSD) of the vibration signal was obtained via fast Fourier transform (FFT). And then the mass and the central frequency of the small peaks of the spectrum are extracted as the spectral features. At last the support vector machines (SVM) is used to build the soft model. The parameters of SVM, the input variables including the mass and the central frequency of the peaks are selected by Genetic algorithm (GA). Experimental results show that proposed soft sensor model has higher accuracy and better predictive performance than the other normal approaches. © 2010 IEEE.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Classification of four-class motor imagery EEG based on CSP-HMM

引用

Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology 2012年第SUPPL.2期36卷 197-201页

作者： Wang, Dong-Yang Jin, Jing Wang, Xing-Yu Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai 200237 China

In this paper, a new classification method based on common spatial pattern (CSP) and hidden markov model(HMM)is presented to classify the EEG of four-class motor imagery. 4 s data of motor imagery is selected and four 2 s sub-data sets are obtained by sliding time window with 0.5 s step size. CSP is used to extract features from the four sub-data sets respectively. Features from each class are used to train one HMM. Four different HMMs are obtained corresponding with the four classes. Test data are measured by the four HMMs and classified based on the maximum likelihood obtained from the four HMMs. The results show that HMM yields better performance than Bayesian linear discriminant analysis.

关键词： Brain computer interface

来源：评论

学校读者我要写书评

暂无评论

Streaming-Data-Driven Multi-Objective Optimal Operation for Ammonia-based Integrated Energy chemical Systems: An Event-Triggered Scheme

Streaming-Data-Driven Multi-Objective Optimal Operation for ...

引用

Chinese control Conference (CCC)

作者： Longyan Li Chao Ning Department of Automation Shanghai Jiao Tong University Shanghai Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Shanghai China

As an important component in the industry sector, the integrated energy chemical system is inescapably responsible for carbon reduction in addition to economic and reliability performance. We propose a novel streaming-data-driven multi-objective optimal operation for ammonia-based integrated energy chemical systems (AIECS). In the day ahead scheduling, a detailed mathematical model for AIECS is presented, upon which a multi-objective optimization considering cost, CO 2 emission and reliability is established. For the intra-day operation, an event-triggered mechanism is firstly developed in the real-time operation of AIECS, and it enables the AIECS to be risk-aware just in time. By monitoring the difference between the predicted state of charge and the capacity limitations of battery, the AIECS identifies whether it is in hazardous regime. Then, the intelligent switch between certainty equivalence model predictive control and online-learning based distributionally robust model predictive control is proposed, such that their respective advantages are leveraged. Case studies demonstrate that the proposed approach guarantees the system safety, and brings good revenue.

关键词：

来源：评论

学校读者我要写书评

暂无评论

External analysis and moving window LoOP based monitoring for a class of multi-mode timevarying process

引用

IEEE/CAA Journal of Automatica Sinica 2017年

作者： Gao, Yong Wang, Xin Wang, Zhenlei Zhao, Liang Key Laboratory of Advanced Control and Optimization for Chemical Processes U+0028 East China University of Science and Technology U+0029 Ministry of Education Shanghai 200237 China China Center of Electrical and Electronic Technology Shanghai Jiao Tong University Shanghai China China

Moving window local outlier probability U+0028 MWLoOP U+0029 is an outlier detecting method which was proposed for monitoring time-varying industrial processes;however, for the practical industrial processes, besides the timevarying characters caused by deactivation of catalyst, measuring instrument drifting and so on, the operation mode is often switched as the adjusting of the feedstock, changes in market demands and so on. Although the MWLoOP algorithm can deal with the time-varying process data, the multi-mode process data will lead to a mass of false alarm. To solve this problem, an external analysis moving window local outlier probability U+0028 EA-MWLoOP U+0029 algorithm is proposed in this study. The external analysis is employed to eliminate the influence of operation mode change on the process data, then the MWLoOP method can deal with complex distribution time-varying data, and give an outlier probability. Finally, the corresponding statistic and control limit are constructed to detect the process fault. In addition, while the monitoring model is being updated, the control limit is not necessary to update. The performance of this method is evaluated through a case study of a non-isothermal continuous stirred tank reactor U+0028 CSTR U+0029. IEEE

关键词： Computational efficiency

来源：评论

学校读者我要写书评

暂无评论

A Geometric Extension Design for Second-Order Nonlinear Agents Formation Surrounding a Sphere

A Geometric Extension Design for Second-Order Nonlinear Agen...

引用

第28届中国控制与决策会议

作者： Yang-Yang Chen Kai-Xuan Wang Ya Zhang Cheng-Lin Liu Qin Wang School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University Chien-Shiung Wu College Southeast University Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Institute of AutomationJiangnan University College of information engineering Yangzhou University

ISBN: (纸本)9781467397155

This article deals with the problem of driving a family of second-order nonlinear agents to land on a sphere and formation tracking a set of given orbits on the sphere.A novel geometric extension called the concentric compression method is proposed to give a solution to spheral landing and then combines with the control of spherical meridian and parallel to achieve formation motion along given orbits on the *** asymptotic stability of system is proved by Lyapunov-based method when the communication topology is *** effectiveness of the analytical result is verified by a numerical simulation.

关键词： Formation tracking Sphere landing Geometric Extension Second-Order Nonlinear Agents

来源：评论

学校读者我要写书评

暂无评论

Coordinated optimization Method of Dual Head Gasoline Blending Under Strict Constraint Conditions

引用

Shiyou Xuebao, Shiyou Jiagong/Acta Petrolei Sinica (Petroleum processing Section) 2019年第2期35卷 337-347页

作者： He, Renchu Chen, Haiquan Zhang, Weidong Zhu, Wenqi Key Laboratory of Advanced Control and Optimization Technology for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai University Shanghai200072 China Information and Measurement Center Jinling Company SINOPEC Nanjing210033 China Storage and Transportation Department Zhenhai Refining&Chemical Company SINOPEC Ningbo315207 China

For the upcoming China Ⅵ gasoline standard with much more strictly controlled properties, and high requirements for blending efficiency, a blending process and coordinated optimization algorithm for blending multiple brands of gasoline at the same time were developed. Octane number model, vapor pressure model, density model, distillation range model and content attribute model were established. The calculation process of octane number model and distillation range model have been improved, and 12 quality indicators of gasoline can be precisely monitored during the blending process. Considering the actual accumulative blending process, the properties of gasoline in the tank during the blending process should be converted into instantaneous properties zone at the blending head. The optimized properties of the blending head are used to compensate the properties deviation of the amount of blending and the tank bottom oil. Meanwhile, a reasonable and efficient coordination optimization algorithm is used to coordinate the upper limit of the common component oil, which solves the problem of scramble for the common component oil flow in the double blending head in the blending process. The simulation results show that the design method can be applied to the gasoline blending of double head in the field, and can also provide technical support for the upgrading of gasoline blending process under the China Ⅵ gasoline standard. © 2019, Editorial Office of Acta Petrolei Sinica(Petroleum processing Section). All right reserved.

关键词： Gasoline

来源：评论

学校读者我要写书评

暂无评论

Attribute reduction based on ant colony algorithm for optimization of minimal reductions

引用

Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology 2012年第SUPPL.2期36卷 48-52页

作者： Yin, She-Jie Zhang, Ling-Bo Gu, Xing-Sheng Xu, Zhen-Hao Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai 200237 China

Attribute reduction is an important topic of the rough set theory and it's a NP-hard problem to find a minimal reduction. Due to the advantage of ant colony algorithm in solving combinatorial optimization problems, this paper treats attribute reduction as a combinatorial optimization problem, and combines the rough set theory with ant colony algorithm to search the minimal reduction. In accordance with the problems in obtaining many minimal reduction sets of the same length, the paper takes the dependence degree of decision attributes on the non-core attributes to measure the solutions and selects the reduction set which has the maximum dependence degree, so as to find the optimal solution. Experimental results verify the validity of the presented algorithm.

关键词： Rough set theory

来源：评论

学校读者我要写书评

暂无评论

Robust static output feedback based ILC design with finite frequency specifications for batch processes with time-varying uncertainties

Robust static output feedback based ILC design with finite f...

引用

第三十九届中国控制会议

作者： Shoulin Hao Tao Liu Wojciech Paszke Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University ofTechnology Institute of Advanced Control Technology Dalian University of Technology Institute of Automation Electronic and Electrical Engineering University of Zielona Góra

For industrial batch processes with time-varying uncertainties, a robust output feedback based iterative learning control（ILC） design is proposed by introducing finite frequency specifications, based on only the output measurement. The integral of output tracking error in the time domain is incorporated into the ILC updating law to improve the tracking performance from batch to batch. Based on the generalized Kalman-Yakubovich-Popov lemma, robust stability of the resulting closed-loop ILC system along both time and batch directions is analyzed in the repetitive system framework. The corresponding ILC law can be determined from the established tractable linear matrix inequality conditions. Moreover, it is shown that the obtained stability condition can also guarantee the bounded output tracking error and system input in the presence of time-and/or batch-varying uncertainties. An illustrative example from the literature is adopted to demonstrate the effectiveness of the proposed design.

关键词： Batch process time-varying uncertainties iterative learning control output feedback finite frequency range specification

来源：评论

学校读者我要写书评

暂无评论

Design of High Temperature Anticorrosion Diagnosis System for Atmospheric and Vacuum Distillation Unit Based on Forcecontrol and SQL Sever2014

Design of High Temperature Anticorrosion Diagnosis System fo...

引用

Automation, control and Robotics Engineering (CACRE), International Conference on

作者： Liang Zhao Zexin Zhang Lida Wang Guichang Liu Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education School of Control Science and Engineering Dalian University of Technology School of Control Science and Engineering Dalian University of Technology School of Chemical Engineering Dalian University of Technology

ISBN: (数字)9781728198880

ISBN: (纸本)9781728198897

Due to the complex composition of the oil flowing through the refining unit, the equipment anticorrosion work has always been a major problem in petrochemical enterprises, and the corrosion problem is a key factor related to shortening the service life of the atmospheric and vacuum distillation unit. Aiming at the problem of high temperature corrosion of atmospheric and vacuum unit in a petrochemical enterprise and the current situation of corrosion management in the enterprise, this paper designs a high temperature corrosion diagnosis system of atmospheric and vacuum unit based on Forcecontrol configuration development platform. The system uses threedimensional interpolation algorithm to calculate the corrosion rate, and uses Microsoft SQL sever2014 database technology and Forcecontrol 7.1 configuration development platform to realize the comprehensive management of corrosion data, corrosion rate calculation, early warning, expert advice and other functions. Through the function test of each module in the system, and using the actual corrosion data provided by the enterprise to simulate and verify the system, the test results show that the system can achieve the expected functions, and ensure the calculation accuracy of corrosion rate.

关键词： Atmospheric and Vacuum Unit Three-Dimensional Interpolation Diagnostic System Forcecontrol

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：